Digital Library

of the European Council for Modelling and Simulation



Color Mixing Simulator For Display Surfaces Based On Human Color Vision


Takako Nonaka, Morimasa Matsuda, Tomohiro Hase

Published in:


ECMS 2007 Proceedings

Edited by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni


ISBN: 978-0-9553018-2-7

Doi: 10.7148/2007


21st European Conference on Modelling and Simulation,

Prague, June 4-6, 2007


Citation format:

Nonaka, T., Matsuda, M., & Hase, T. (2007). Color Mixing Simulator For Display Surfaces Based On Human Color Vision. ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni (pp. 304-308). European Council for Modeling and Simulation. doi:10.7148/2007-0304.



This paper proposes a simulator that analyzes the color mixing process in large display units based on human color vision. The authors have previously proposed calculation model for the color mixing process. With this model, we can calculate the viewing distance at which humans distinguish the pixel structure, but the model does not give us the appearance of any particular image. Therefore, the proposed simulator enables us to understand how mixed colors are perceived without actually manufacturing a large display unit. It also supplies the output of the resulting image.

First, the simulator makes test samples that reproduce the pixel structure. Next, the spatial frequency characteristics of each of the R, G and B pixel dots on the display surface are calculated. Thirdly, the visual characteristics in the spatial-frequency domain for each color are realized as a transfer function of a low pass filter, where the viewing distance is used as a parameter. Fourthly, in the spatial-frequency domain, the display surface characteristics are multiplied with the characteristics of human vision for each color. Finally, the   simulator    converts the    spatial-frequency characteristics to the spatial characteristics, and composes the appearance of each color to show the resulting color mixing image.

Using this simulator, we tried to produce the appearance of images at the different viewing distances. As a result, we found that the longer the viewing distance becomes, the less recognizable are the pixel dots and they look to have a more uniform, mixed color. These results agree qualitatively with the appearance of images on the screens of actual large display units and prove the validity of our simulator.

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